refresh

热门公司

Trending

招聘

JobsAmazon

Training Coordinator, Flex I&O, Flex Service Level Standards (SLS)

Amazon

Training Coordinator, Flex I&O, Flex Service Level Standards (SLS)

Amazon

Tempe, AZ, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$52,000 - $62,400

Benefits & Perks

Healthcare

401(k)

Equity

Paid Time Off

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Training program development

Communication

Presentation skills

Classroom management

Data analysis

The Amazon Flex Investigations team is seeking a Training Coordinator to support operational training for our Investigation Specialists. Overall responsibilities include enhancing employee competencies by developing and conducting effective training programs to onboard new hires and support ongoing training requirements, enabling Specialists to maintain a high bar for investigations.

Key job responsibilities
The Training Specialist is responsible for delivering approved training content and coordinating all new hire, refresher, and launch trainings. This includes facilitating blended learning programs (instructor-led onsite, remote, and e Learning) for new hires, cross-training, continuing education, and refreshers for Investigation Specialists.

Key Responsibilities include:

  • Needs Assessment: Collaborate with leaders to identify training needs and skill gaps
  • Program Development: Design training programs for various learning styles and operational processes; create engaging e-learning modules and instructional materials
  • Facilitation: Lead virtual and in-person training sessions and workshops, fostering interactive learning environments
  • Scheduling and Coordination: Manage training schedules, logistics, and communicate updates to participants effectively
  • Monitoring and Evaluation: Develop assessment tools, gather feedback, and analyze training data for continuous improvement
  • Participant Support: Serve as primary contact for training inquiries and provide coaching to trainees
  • Reporting and Documentation: Maintain records of sessions, attendance, and evaluation outcomes; present effectiveness reports to management
  • Stakeholder Communication: Collaborate with internal partners and communicate best practices to stakeholders
  • Continuous Improvement: Stay current on industry trends and recommend new training tools and methods

About the team
Amazon Flex Service Level Standards (SLS) ensures that Delivery Partners (DPs) provide high quality service to all Amazon Last Mile delivery businesses such as AMZL, SSD, Prime Now, Whole Foods, and others. Our vision is to influence Delivery Partners to be safe, reliable, and provide great quality deliveries to our customers by accurately measuring driver behavior and communicating opportunities for them to improve. The team focuses on achieving this vision by understanding the ground truth of the driver journey, and then to protect the customer experience we use data-driven thresholds to alert and enforce driver behavior, while being fair and transparent to DPs.

Basic Qualifications

  • Experience in formulating and implementing training strategies, policies, and procedures for standardisation and delivery of training methodology throughout the organisation
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • At least 2 years experience in a training role
  • Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal teams and management
  • Excellent coordination, classroom management and organization skills.

Preferred Qualifications

  • Experience working within a global company, with multi-country responsibilities
  • Training certification a plus

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, AZ, Tempe - 25.00 - 30.00 USD hourly

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge